Programozó állások, munkák XXIII. kerületben

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Collaboration with architects to communicate, align and implement architecture direction
• Alignment with other tech leads to ensure technical consistency

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

• Shaping AWS-based cloud architectures and technical decisions for SaaS, PaaS, web application, and enterprise cloud environments
• Design and implementation of Infrastructure as Code solutions using Terraform, AWS CloudFormation, or Pulumi

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Identify AI and automation opportunities across business processes
• Work with different departments to understand processes, pain points and repetitive activities
• Challenge existing ways of working and propose simpler, automated or completely new approaches

• NAPI ÜZEMELTETÉSHEZ SZÜKSÉGES FELADATOK ELLÁTÁSA, HIBAJEGYEK KEZELÉSE,
• RENDSZER MONITOROZÁSA, MONITOROZÓ AUTOMATIKÁK RIASZTÁSAINAK FOGADÁSA,
• Részvétel a felmerülő problémák okának kiderítésében,
• Élesítések, telepítések elvégzése,
• Üzemeltetési dokumentációk naprakészen tartása

• Kutatások módszertani megtervezése, teljes körű előkészítése és engedélyeztetése, külső és belső szakértők bevonásával
• Adatfelvételek lebonyolítása, illetve azok megszervezése és ellenőrzése, ideértve a kapcsolódó beszerzési eljárások előkészítését és lefolytatását

Working on the design, development, and production of advanced digital solutions, ensuring seamless integration with existing infrastructure and adherence to enterprise architecture standards and robust delivery lifecycle processes. This includes leveraging expertise in various digital technologies...

• Be able to manage small teams to deliver analytic functions in support of strategic and business development projects.
• Analyse and assess macroeconomic, energy market and other industry-specific developments by synthetizing available empirical evidence, related literature, and economic theory.

• Client-facing communication
• Participation in pre-sales discussions
• Collaboration with sales and customer success teams
• Communication with clients' technical teams
• Solution design and delivery
• Design and configuration of data labeling and processing pipelines using Python-based tools

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Monitoring market movements and reacting accordingly
• Assessing and approving bets that exceed client limits
• Tracking and analysing incoming bets with proper tagging
• Implementing risk management strategies
• Reporting betting activity to the Customer Risk Analyst Team

• Research, development, implementation and testing of artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs and drivable trajectories

• Architect and lead the development of large-scale ML systems and model pipelines
• Introduce new ML systems such as traffic sign detection, building facade detection, and other computer vision-based solutions
• Define and drive the ML technical roadmap in alignment with company objectives

• Contribution to System IP microarchitecture specification and design
• Contribution in SystemVerilog, C and C++ to verification, modelling and debug to achieve required quality levels
• Proposal and prototyping of new ways and definition of methodologies to reach goals more efficiently

• Banki környezetben lévő java alkalmazásszerverek (Welogic, Glassfish, Websphere) napi működésének feltételei biztosítása (performancia, üzembiztonság, mentések, monitorozás)
• Weblogic, Glassfish és Websphere alkalmazásszerverek folyamatos üzemeltetése és monitorozása

Management and maintenance of the ServiceNow platform including CMDB, configuration, customization, integrations and platform related administration tasks...

• részvétel a teljes egyetemi adatvagyon központosítását célzó, az egyetem által működtetett adattárház továbbfejlesztésében,
• adattisztítás módszertanának fejlesztése, adatmodellek létrehozása, adatkapcsolatok kialakítása, sématervezés,

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production